Invention Grant
- Patent Title: Recommendation prediction based on preference elicitation
-
Application No.: US15849214Application Date: 2017-12-20
-
Publication No.: US10678800B2Publication Date: 2020-06-09
- Inventor: Jinfeng Yi , Jun Wang , Kush Varshney , Aleksandra Mojsilovic
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Scully, Scott, Murphy & Presser, P.C.
- Agent Daniel P. Morris, Esq.
- Main IPC: G06F16/2457
- IPC: G06F16/2457 ; G06Q30/06 ; G06F17/16 ; G06F17/18 ; G06F16/9535

Abstract:
Methods and systems for generating prediction data are described. In an example, a processor may retrieve preferential data from a memory. The preferential data may include a set of preferences that corresponds to a first subset of objects among a set of objects, and may exclude preferences associated with a second subset of objects among the set of objects. Each preference may indicate a preferred object between a respective pair of objects among the first subset of objects. The processor may determine first predicted ratings corresponding to the first subset of objects based on the preferential data. The processor may determine second predicted ratings corresponding to the second subset of objects based on the preferential data. The processor may generate prediction data by populating entries of the prediction data with the first and second predicted ratings, where the prediction data may include predicted ratings of the set of objects.
Public/Granted literature
- US20190188274A1 RECOMMENDATION PREDICTION BASED ON PREFERENCE ELICITATION Public/Granted day:2019-06-20
Information query